File size: 1,347 Bytes
7ffff7d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 | # Licensed under a 3-clause BSD style license - see LICENSE.rst
import pytest
import numpy as np
from astropy.table.sorted_array import SortedArray
from astropy.table.table import Table
@pytest.fixture
def array():
# composite index
col0 = np.array([x % 2 for x in range(1, 11)])
col1 = np.array([x for x in range(1, 11)])
t = Table([col0, col1])
t = t[t.argsort()]
return SortedArray(t, t['col1'].copy())
@pytest.fixture
def wide_array():
# array with 100 columns
t = Table([[x] * 10 for x in np.arange(100)])
return SortedArray(t, t['col0'].copy())
def test_array_find(array):
for i in range(1, 11):
print("Searching for {0}".format(i))
assert array.find((i % 2, i)) == [i]
assert array.find((1, 4)) == []
def test_array_range(array):
assert np.all(array.range((0, 8), (1, 3), (True, True)) == [8, 10, 1, 3])
assert np.all(array.range((0, 8), (1, 3), (False, True)) == [10, 1, 3])
assert np.all(array.range((0, 8), (1, 3), (True, False)) == [8, 10, 1])
def test_wide_array(wide_array):
# checks for a previous bug in which the length of a
# sliced SortedArray was set to the number of columns
# instead of the number of elements in each column
first_row = wide_array[:1].data
assert np.all(first_row == Table([[x] for x in np.arange(100)]))
|